MétaCan
Menu
Back to cohort
Record W3010730395 · doi:10.19255/jmpm02215

Industry 4.0 in Construction Site Logistics: A Comparative Analysis of Research and Practice

2020· article· en· W3010730395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Modern Project Management · 2020
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsIndustry 4.0BusinessConstruction industrySupply chainSupply chain managementDigital transformationEmerging technologiesIndustrial organizationEngineering managementEngineeringComputer scienceMarketingConstruction engineering

Abstract

fetched live from OpenAlex

The fourth industrial revolution, also known as Industry 4.0, has underpinned the digital transformation of the manufacturing industry for several years. Earlier studies show that Industry 4.0 is now impacting the construction industry and one of its specific features: supply chain management and particularly on-site logistics. Although many technologies have been associated with what can be called Construction 4.0, little attention has been paid to the applications resulting from these technologies. Thus, the utilization of technologies remains largely unknown. The aim of this article is to explore the technological applications associated with Industry 4.0 and used in on-site logistics. The study is based on a comparative analysis of the technological applications found in the scientific literature and those identified in practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.376
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it